> A Markov chain is a sequence of random variables X1, X2, X3, . . . , Xt ,
. . . , such that the probability distribution of Xt+1 depends only on t and
xt (Markov property), in other words:
No. In a Markov process, the future does depend on the past, even all of the past. But what is special is that the past and the future are conditionally independent given the present. If we are not given the present, then all of the past can be relevant in predicting the future.
No. In a Markov process, the future does depend on the past, even all of the past. But what is special is that the past and the future are conditionally independent given the present. If we are not given the present, then all of the past can be relevant in predicting the future.